With the Ignorance Project we identify the specific global statistical trends that have not reached a broad public audience.
print("hello world")## [1] "hello world"
eval = false, print chunk but wont evaluate, eg.g when you are installing packages echo = false, run the code but don’t show me the code
# gap minder download package
install gapminder package
install.packages("gapminder")also install skimr, plotly, DT
install.packages(c("skimr", "plotly", "DT"))plot
library(gapminder)## Warning: package 'gapminder' was built under R version 3.5.3
gapminder## # A tibble: 1,704 x 6
## country continent year lifeExp pop gdpPercap
## <fct> <fct> <int> <dbl> <int> <dbl>
## 1 Afghanistan Asia 1952 28.8 8425333 779.
## 2 Afghanistan Asia 1957 30.3 9240934 821.
## 3 Afghanistan Asia 1962 32.0 10267083 853.
## 4 Afghanistan Asia 1967 34.0 11537966 836.
## 5 Afghanistan Asia 1972 36.1 13079460 740.
## 6 Afghanistan Asia 1977 38.4 14880372 786.
## 7 Afghanistan Asia 1982 39.9 12881816 978.
## 8 Afghanistan Asia 1987 40.8 13867957 852.
## 9 Afghanistan Asia 1992 41.7 16317921 649.
## 10 Afghanistan Asia 1997 41.8 22227415 635.
## # ... with 1,694 more rows
library(ggplot2)## Warning: package 'ggplot2' was built under R version 3.5.3
p <- ggplot(gapminder, aes(x= gdpPercap, y = lifeExp, color = continent))+
geom_point()
plibrary(plotly)## Warning: package 'plotly' was built under R version 3.5.3
##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
ggplotly(p)